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Ammar Abbas

12 papers hereh-index 7256 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author8

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • eess.AS10
  • cs.LG1
  • cs.PF1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedBASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

23 citations · 23 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

eess.AS2022

Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody

Peter Makarov, Ammar Abbas, Mateusz Łajszczak +5

Generating expressive and contextually appropriate prosody remains a challenge for modern text-to-speech (TTS) systems. This is particularly evident for long, multi-sentence inputs…

eess.AS2022

Expressive, Variable, and Controllable Duration Modelling in TTS

Ammar Abbas, Thomas Merritt, Alexis Moinet +5

Duration modelling has become an important research problem once more with the rise of non-attention neural text-to-speech systems. The current approaches largely fall back to rely…

eess.AS2022

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer

Sri Karlapati, Penny Karanasou, Mateusz Lajszczak +7

In this paper, we present CopyCat2 (CC2), a novel model capable of: a) synthesizing speech with different speaker identities, b) generating speech with expressive and contextually…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.